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Featured in Development

Peter Alvaro talks about the reasons one should engage in language design and why many of us would (or should) do something so perverse as to design a language that no one will ever use. He shares some of the extreme and sometimes obnoxious opinions that guided his design process.

Featured in AI, ML & Data Engineering

Today on The InfoQ Podcast, Wes talks with Katharine Jarmul about privacy and fairness in machine learning algorithms. Jarul discusses what’s meant by Ethical Machine Learning and some things to consider when working towards achieving fairness. Jarmul is the co-founder at KIProtect a machine learning security and privacy firm based in Germany and is one of the three keynote speakers at QCon.ai.

Featured in Culture & Methods

Organizations struggle to scale their agility. While every organization is different, common patterns explain the major challenges that most organizations face: organizational design, trying to copy others, “one-size-fits-all” scaling, scaling in siloes, and neglecting engineering practices. This article explains why, what to do about it, and how the three leading scaling frameworks compare.

The idea of The Morning Paper blog is simple: every weekday I take a computer science research paper and write it up as a post. If you prefer to have the day's paper delivered straight to your inbox, there's an option to subscribe to a mailing list as well. On the blog, you'll find a mix of past papers and current research results. I cover a fairly wide range of topics, but with a bias towards distributed systems and data. The blog grew from my habit of reading research papers during my commute time - I figured they'd give me much more lasting value than the newspapers many of my fellow commuters were reading! Reading papers has been a wonderfully beneficial activity for me (see my QCon London keynote if you're interested in learning more about this), and I very much hope that you'll get enjoyment and benefit from learning about some of the wonderful developments being made in computer science too.

Over the course of a year, subscribers to the blog will be exposed to just over 200 papers and ideas on average. Of course, not everyone will have the time to read all 200 posts! So when Charles Humble from InfoQ approached me with the idea of putting together a quarterly eMag highlighting some of my favourite papers/posts from the quarter, I jumped at the chance. The result is the eMag you're reading now. I hope the papers I've chosen inspire you to dig deeper into the wonderful world of computer science.

Free download

The Morning Paper - Quarterly Review eMag include:

The amazing power of word vectors

Deep learning in neural networks: an overview

Gorilla: a fast, scalable, in-memory time series database

How to build static checking systems using orders of magnitude less code

A survey of available corpora for building data driven dialog systems

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